Multi Agent FinBot

A Next-Gen Financial Intelligence System Powered by Collaborative AI Agents

Overview

Multi-Agent-FinBot is a financial analysis system that leverages multiple AI agents working in concert to deliver comprehensive market insights. Built on the powerful Groq LLM (llama-3.3-70b-versatile), it combines real-time market data, web intelligence, and advanced analytics to provide actionable financial insights.

Core Capabilities

1. Real-Time Market Intelligence

• Live stock price tracking and analysis
• Financial metrics computation
• Market trend identification
• Expert-level recommendations

2. Advanced Web Intelligence

• Multi-source data aggregation
• Cross-reference validation
• Pattern recognition
• Automated insight extraction

3. News Analysis

• Real-time financial news monitoring
• Sentiment analysis
• Impact assessment
• Trend detection

4. Deep Web Analysis

• Financial website crawling
• Content synthesis
• Market research automation
• Insight generation

Technical Stack

• AI Engine: Groq (llama-3.3-70b-versatile)
• Framework: phidata
• Data Sources: yfinance, duckduckgo-search
• Web Tools: spider-client
• News Source: Hacker News

Quick Start

# Clone and setup
git clone https://github.com/ansshhhhhh/Multi-Agent-FinBot.git
cd Multi-Agent-FinBot

# Environment setup
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt

# Configure
echo "GROQ_API_KEY=your_api_key_here" > .env

# Launch
python main.py

Architecture

Multi-Agent-FinBot/
├── Agent/
│   ├── agents.py      # Agent implementations
│   └── multiAgent.py  # Agent orchestration
├── main.py           # Entry point
└── requirements.txt  # Dependencies

Key Features

• Multi-Agent Collaboration: Four specialized agents working in harmony
• Real-Time Analysis: Instant market insights and updates
• Data-Driven Insights: Comprehensive analysis from multiple sources
• Source Verification: All insights backed by verifiable sources
• Structured Output: Clear, tabulated data presentation

Use Cases

• Investment research and analysis
• Market trend monitoring
• Financial news impact assessment
• Pattern recognition in market data
• Investment strategy development

Contributing

We welcome contributions to enhance agent capabilities, add features, or improve documentation.

License

Licensed under the terms of the included LICENSE file.

---

Transform your financial analysis with the power of collaborative AI intelligence.